Activity-Aware Sensor Cycling for Human Activity Monitoring in Smart Homes
| Autor: | Homin Park, Taejoon Park, Myounggyu Won, Seokhyun Hwang |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
business.industry
Computer science Duty cycling Real-time computing 020206 networking & telecommunications Context (language use) 02 engineering and technology Energy consumption Computer Science Applications Activity monitoring Duty cycle Modeling and Simulation 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Electrical and Electronic Engineering Cycling Internet of Things business Wireless sensor network |
| Zdroj: | IEEE Communications Letters. 21:757-760 |
| ISSN: | 2373-7891 1089-7798 |
| DOI: | 10.1109/lcomm.2016.2619700 |
| Popis: | Smart homes are one of the Internet of Things domains intended to support and aid the residents through various smart services. These services require accurate context inferences using daily activity patterns and environmental properties. To satisfy such a need with battery-powered sensors, various duty cycling schemes were introduced. In this letter, we propose an activity-aware sensor cycling approach that makes the best tradeoff for duty cycle adjustments by exploiting the predictable behavior of residents, thereby significantly improving the activity detection accuracy at a marginal increase of the energy consumption. Evaluation results demonstrate that it achieves up to 99% accuracy of activity detection and extends the network lifetime by supporting balanced energy consumption among sensors. |
| Databáze: | OpenAIRE |
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